¿Qué hacer con textos que no se pueden publicar? Datos derivados, criterios FAIR y TEI
In certain circumstances, data prepared by projects cannot be published openly. In the last decades different projects have published derived data (also called extracted features) to avoid this problem. In this article, we argue in favor of TEI as a format for this task, as it favors compliance with...
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Format: | Article |
Language: | deu |
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Text Encoding Initiative Consortium
2023-08-01
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Series: | Journal of the Text Encoding Initiative |
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Online Access: | https://journals.openedition.org/jtei/4720 |
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author | José Calvo Tello Nanette Rißler-Pipka |
author_facet | José Calvo Tello Nanette Rißler-Pipka |
author_sort | José Calvo Tello |
collection | DOAJ |
description | In certain circumstances, data prepared by projects cannot be published openly. In the last decades different projects have published derived data (also called extracted features) to avoid this problem. In this article, we argue in favor of TEI as a format for this task, as it favors compliance with the FAIR principles. Furthermore, we present different options, discuss their advantages and disadvantages and show concrete applications to several projects with Spanish texts (CORDE, novels of the Silver Age and texts by Picasso). |
format | Article |
id | doaj-art-f10c3acdff5f48589e881de97e694f75 |
institution | Kabale University |
issn | 2162-5603 |
language | deu |
publishDate | 2023-08-01 |
publisher | Text Encoding Initiative Consortium |
record_format | Article |
series | Journal of the Text Encoding Initiative |
spelling | doaj-art-f10c3acdff5f48589e881de97e694f752025-01-30T13:56:43ZdeuText Encoding Initiative ConsortiumJournal of the Text Encoding Initiative2162-56032023-08-011610.4000/jtei.4720¿Qué hacer con textos que no se pueden publicar? Datos derivados, criterios FAIR y TEIJosé Calvo TelloNanette Rißler-PipkaIn certain circumstances, data prepared by projects cannot be published openly. In the last decades different projects have published derived data (also called extracted features) to avoid this problem. In this article, we argue in favor of TEI as a format for this task, as it favors compliance with the FAIR principles. Furthermore, we present different options, discuss their advantages and disadvantages and show concrete applications to several projects with Spanish texts (CORDE, novels of the Silver Age and texts by Picasso).https://journals.openedition.org/jtei/4720corporaSpanish literaturelegal issuesderived dataextracted featurescopyright |
spellingShingle | José Calvo Tello Nanette Rißler-Pipka ¿Qué hacer con textos que no se pueden publicar? Datos derivados, criterios FAIR y TEI Journal of the Text Encoding Initiative corpora Spanish literature legal issues derived data extracted features copyright |
title | ¿Qué hacer con textos que no se pueden publicar? Datos derivados, criterios FAIR y TEI |
title_full | ¿Qué hacer con textos que no se pueden publicar? Datos derivados, criterios FAIR y TEI |
title_fullStr | ¿Qué hacer con textos que no se pueden publicar? Datos derivados, criterios FAIR y TEI |
title_full_unstemmed | ¿Qué hacer con textos que no se pueden publicar? Datos derivados, criterios FAIR y TEI |
title_short | ¿Qué hacer con textos que no se pueden publicar? Datos derivados, criterios FAIR y TEI |
title_sort | que hacer con textos que no se pueden publicar datos derivados criterios fair y tei |
topic | corpora Spanish literature legal issues derived data extracted features copyright |
url | https://journals.openedition.org/jtei/4720 |
work_keys_str_mv | AT josecalvotello quehacercontextosquenosepuedenpublicardatosderivadoscriteriosfairytei AT nanetterißlerpipka quehacercontextosquenosepuedenpublicardatosderivadoscriteriosfairytei |